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University of Tuebingen
- Tuebingen
- karroth.com
- @confusezius
Highlights
- Pro
🌱 Currently:
- IMPRS-IS & ELLIS Computer Science PhD Student, currently at the Explainable Machine Learning Group (University of Tuebingen). Supervisors: Zeynep Akata & Oriol Vinyals.
🌱 Previously:
- Research Scientist Intern at Meta AI with Diane Bouchacourt, Pascal Vincent and Mark Ibrahim, Paris working on disentangled and out-of-distribution representation learning.
- Research intern at Amazon AWS Tuebingen with Peter Gehler, Thomas Brox and Bernhard Schoelkopf on Industrial Anomaly Detection.
- Research intern at Vector with Prof. Marzyeh Ghassemi on Visual Similarity and Deep Metric Learning.
- Research intern at Mila with Dr. Joseph Paul Cohen and Prof. Yoshua Bengio on Large-Scale Medical Representation Learning, Contrastive and Deep Metric Learning.
🤔 Most of my current work focuses on multimodal & contrastive representation learning as well as out-of-distribution generalization, with particular interests in zero- and few-shot learning.
📫 Reach me for collabs or just general questions here.
You can find me on Twitter or LinkedIn - for my research and latest updates, check out my Google Scholar and Homepage!
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Deep-Metric-Learning-Baselines
Deep-Metric-Learning-Baselines PublicPyTorch Implementation for Deep Metric Learning Pipelines
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Revisiting_Deep_Metric_Learning_PyTorch
Revisiting_Deep_Metric_Learning_PyTorch Public(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent…
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ExplainableML/Vision_by_Language
ExplainableML/Vision_by_Language Public[ICLR 2024] Official repository for "Vision-by-Language for Training-Free Compositional Image Retrieval"
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ExplainableML/WaffleCLIP
ExplainableML/WaffleCLIP PublicOfficial repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts"
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ExplainableML/fomo_in_flux
ExplainableML/fomo_in_flux PublicCode and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]
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ExplainableML/LanguageGuidance_for_DML
ExplainableML/LanguageGuidance_for_DML PublicThis repository contains the code for our CVPR 2022 paper on "Integrating Language Guidance into Vision-based Deep Metric Learning".
If the problem persists, check the GitHub status page or contact support.


